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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 11 Dec 2008 01:24:21 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/11/t1228983906wqdzqwa2bizxrje.htm/, Retrieved Wed, 15 May 2024 13:38:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32149, Retrieved Wed, 15 May 2024 13:38:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact246
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Harrel davis deci...] [2008-10-18 16:19:32] [ea79f99c5895b39ae8bb6e8c563d0f54]
-   PD  [Harrell-Davis Quantiles] [Harrel davis deci...] [2008-10-18 17:17:36] [ea79f99c5895b39ae8bb6e8c563d0f54]
- RMPD      [(Partial) Autocorrelation Function] [OEF 2 deel 1 De L...] [2008-12-11 08:24:21] [1eda150a0abaa7374d7583f55f7b1e6e] [Current]
-   P         [(Partial) Autocorrelation Function] [0ef2 6bis AUTOCOR...] [2008-12-11 22:20:06] [74be16979710d4c4e7c6647856088456]
-   P         [(Partial) Autocorrelation Function] [oef 2 opg6 autocorr] [2008-12-11 22:22:27] [74be16979710d4c4e7c6647856088456]
- RMP         [Bootstrap Plot - Central Tendency] [Oef 2 opg. 7 De L...] [2008-12-18 22:45:41] [ea79f99c5895b39ae8bb6e8c563d0f54]
- RMP           [Blocked Bootstrap Plot - Central Tendency] [VERbetering Block...] [2009-01-04 16:07:05] [ea79f99c5895b39ae8bb6e8c563d0f54]
- RMP             [Variability] [SDL OPG 8 OEF3 va...] [2009-01-06 10:22:38] [ea79f99c5895b39ae8bb6e8c563d0f54]
- RMP               [Classical Decomposition] [SDL OPG 9 OEF2] [2009-01-15 22:26:39] [74be16979710d4c4e7c6647856088456]
- RMP                 [Exponential Smoothing] [SDL OPG 10 OEF2] [2009-01-17 11:19:26] [74be16979710d4c4e7c6647856088456]
- RMP             [Standard Deviation Plot] [SDL OPG 8 OEF3 st...] [2009-01-06 10:27:14] [ea79f99c5895b39ae8bb6e8c563d0f54]
- RMP             [Standard Deviation-Mean Plot] [SDL OPG 8 OEF3 st...] [2009-01-06 10:33:01] [ea79f99c5895b39ae8bb6e8c563d0f54]
- RMP           [Blocked Bootstrap Plot - Central Tendency] [VERbetering Block...] [2009-01-04 16:22:41] [ea79f99c5895b39ae8bb6e8c563d0f54]
- RMP           [Blocked Bootstrap Plot - Central Tendency] [VERbetering Block...] [2009-01-04 16:26:26] [ea79f99c5895b39ae8bb6e8c563d0f54]
- RMP         [Bootstrap Plot - Central Tendency] [Oef 2 opg. 7 De L...] [2008-12-18 22:48:05] [ea79f99c5895b39ae8bb6e8c563d0f54]
- RMP         [Bootstrap Plot - Central Tendency] [Oef 2 opg. 7 De L...] [2008-12-18 22:49:55] [ea79f99c5895b39ae8bb6e8c563d0f54]
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Dataseries X:
102.9
102.9
102.9
102.9
104.2
104.7
104.7
104.7
104.7
104.7
104.7
104.7
104.7
104.7
104.7
104.7
106
107
107
107
107
107
107
107
107
107
107
107
107.6
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
110.6
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
121.27
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
128.35
128.35
128.35
128.35
128.35
128.35
128.35




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32149&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32149&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32149&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9702359.50630
20.9387989.19830
30.9073628.89030
40.8759268.58230
50.8469168.2980
60.818848.0230
70.7907647.74790
80.7688537.53320
90.7469417.31850
100.725037.10380
110.7031196.88910
120.6791656.65440
130.6474286.34350
140.6136266.01230
150.5798245.68110
160.5460235.34990
170.5146485.04251e-06
180.485144.75344e-06
190.4556324.46431.1e-05
200.4294944.20822.9e-05
210.4033563.95217.4e-05
220.3772183.6960.000182
230.351083.43990.000431
240.3235263.16990.001023
250.2895562.83710.002777
260.2526762.47570.007525
270.2157952.11440.018538
280.1789151.7530.041397
290.1431551.40260.081977
300.1116891.09430.138276
310.0802220.7860.216897
320.0532560.52180.301506
330.0307690.30150.381852
340.0082820.08110.467746
35-0.014204-0.13920.444802
36-0.03753-0.36770.356946
37-0.066147-0.64810.259231
38-0.096804-0.94850.172633
39-0.127461-1.24890.107378
40-0.158117-1.54920.062309
41-0.187467-1.83680.034667
42-0.209909-2.05670.021215
43-0.232352-2.27660.012516
44-0.245458-2.4050.009045
45-0.258564-2.53340.006458
46-0.27167-2.66180.004556
47-0.284775-2.79020.003177
48-0.298223-2.9220.002168

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.970235 & 9.5063 & 0 \tabularnewline
2 & 0.938798 & 9.1983 & 0 \tabularnewline
3 & 0.907362 & 8.8903 & 0 \tabularnewline
4 & 0.875926 & 8.5823 & 0 \tabularnewline
5 & 0.846916 & 8.298 & 0 \tabularnewline
6 & 0.81884 & 8.023 & 0 \tabularnewline
7 & 0.790764 & 7.7479 & 0 \tabularnewline
8 & 0.768853 & 7.5332 & 0 \tabularnewline
9 & 0.746941 & 7.3185 & 0 \tabularnewline
10 & 0.72503 & 7.1038 & 0 \tabularnewline
11 & 0.703119 & 6.8891 & 0 \tabularnewline
12 & 0.679165 & 6.6544 & 0 \tabularnewline
13 & 0.647428 & 6.3435 & 0 \tabularnewline
14 & 0.613626 & 6.0123 & 0 \tabularnewline
15 & 0.579824 & 5.6811 & 0 \tabularnewline
16 & 0.546023 & 5.3499 & 0 \tabularnewline
17 & 0.514648 & 5.0425 & 1e-06 \tabularnewline
18 & 0.48514 & 4.7534 & 4e-06 \tabularnewline
19 & 0.455632 & 4.4643 & 1.1e-05 \tabularnewline
20 & 0.429494 & 4.2082 & 2.9e-05 \tabularnewline
21 & 0.403356 & 3.9521 & 7.4e-05 \tabularnewline
22 & 0.377218 & 3.696 & 0.000182 \tabularnewline
23 & 0.35108 & 3.4399 & 0.000431 \tabularnewline
24 & 0.323526 & 3.1699 & 0.001023 \tabularnewline
25 & 0.289556 & 2.8371 & 0.002777 \tabularnewline
26 & 0.252676 & 2.4757 & 0.007525 \tabularnewline
27 & 0.215795 & 2.1144 & 0.018538 \tabularnewline
28 & 0.178915 & 1.753 & 0.041397 \tabularnewline
29 & 0.143155 & 1.4026 & 0.081977 \tabularnewline
30 & 0.111689 & 1.0943 & 0.138276 \tabularnewline
31 & 0.080222 & 0.786 & 0.216897 \tabularnewline
32 & 0.053256 & 0.5218 & 0.301506 \tabularnewline
33 & 0.030769 & 0.3015 & 0.381852 \tabularnewline
34 & 0.008282 & 0.0811 & 0.467746 \tabularnewline
35 & -0.014204 & -0.1392 & 0.444802 \tabularnewline
36 & -0.03753 & -0.3677 & 0.356946 \tabularnewline
37 & -0.066147 & -0.6481 & 0.259231 \tabularnewline
38 & -0.096804 & -0.9485 & 0.172633 \tabularnewline
39 & -0.127461 & -1.2489 & 0.107378 \tabularnewline
40 & -0.158117 & -1.5492 & 0.062309 \tabularnewline
41 & -0.187467 & -1.8368 & 0.034667 \tabularnewline
42 & -0.209909 & -2.0567 & 0.021215 \tabularnewline
43 & -0.232352 & -2.2766 & 0.012516 \tabularnewline
44 & -0.245458 & -2.405 & 0.009045 \tabularnewline
45 & -0.258564 & -2.5334 & 0.006458 \tabularnewline
46 & -0.27167 & -2.6618 & 0.004556 \tabularnewline
47 & -0.284775 & -2.7902 & 0.003177 \tabularnewline
48 & -0.298223 & -2.922 & 0.002168 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32149&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.970235[/C][C]9.5063[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.938798[/C][C]9.1983[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.907362[/C][C]8.8903[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.875926[/C][C]8.5823[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.846916[/C][C]8.298[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.81884[/C][C]8.023[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.790764[/C][C]7.7479[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.768853[/C][C]7.5332[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.746941[/C][C]7.3185[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.72503[/C][C]7.1038[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.703119[/C][C]6.8891[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.679165[/C][C]6.6544[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.647428[/C][C]6.3435[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.613626[/C][C]6.0123[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.579824[/C][C]5.6811[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.546023[/C][C]5.3499[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.514648[/C][C]5.0425[/C][C]1e-06[/C][/ROW]
[ROW][C]18[/C][C]0.48514[/C][C]4.7534[/C][C]4e-06[/C][/ROW]
[ROW][C]19[/C][C]0.455632[/C][C]4.4643[/C][C]1.1e-05[/C][/ROW]
[ROW][C]20[/C][C]0.429494[/C][C]4.2082[/C][C]2.9e-05[/C][/ROW]
[ROW][C]21[/C][C]0.403356[/C][C]3.9521[/C][C]7.4e-05[/C][/ROW]
[ROW][C]22[/C][C]0.377218[/C][C]3.696[/C][C]0.000182[/C][/ROW]
[ROW][C]23[/C][C]0.35108[/C][C]3.4399[/C][C]0.000431[/C][/ROW]
[ROW][C]24[/C][C]0.323526[/C][C]3.1699[/C][C]0.001023[/C][/ROW]
[ROW][C]25[/C][C]0.289556[/C][C]2.8371[/C][C]0.002777[/C][/ROW]
[ROW][C]26[/C][C]0.252676[/C][C]2.4757[/C][C]0.007525[/C][/ROW]
[ROW][C]27[/C][C]0.215795[/C][C]2.1144[/C][C]0.018538[/C][/ROW]
[ROW][C]28[/C][C]0.178915[/C][C]1.753[/C][C]0.041397[/C][/ROW]
[ROW][C]29[/C][C]0.143155[/C][C]1.4026[/C][C]0.081977[/C][/ROW]
[ROW][C]30[/C][C]0.111689[/C][C]1.0943[/C][C]0.138276[/C][/ROW]
[ROW][C]31[/C][C]0.080222[/C][C]0.786[/C][C]0.216897[/C][/ROW]
[ROW][C]32[/C][C]0.053256[/C][C]0.5218[/C][C]0.301506[/C][/ROW]
[ROW][C]33[/C][C]0.030769[/C][C]0.3015[/C][C]0.381852[/C][/ROW]
[ROW][C]34[/C][C]0.008282[/C][C]0.0811[/C][C]0.467746[/C][/ROW]
[ROW][C]35[/C][C]-0.014204[/C][C]-0.1392[/C][C]0.444802[/C][/ROW]
[ROW][C]36[/C][C]-0.03753[/C][C]-0.3677[/C][C]0.356946[/C][/ROW]
[ROW][C]37[/C][C]-0.066147[/C][C]-0.6481[/C][C]0.259231[/C][/ROW]
[ROW][C]38[/C][C]-0.096804[/C][C]-0.9485[/C][C]0.172633[/C][/ROW]
[ROW][C]39[/C][C]-0.127461[/C][C]-1.2489[/C][C]0.107378[/C][/ROW]
[ROW][C]40[/C][C]-0.158117[/C][C]-1.5492[/C][C]0.062309[/C][/ROW]
[ROW][C]41[/C][C]-0.187467[/C][C]-1.8368[/C][C]0.034667[/C][/ROW]
[ROW][C]42[/C][C]-0.209909[/C][C]-2.0567[/C][C]0.021215[/C][/ROW]
[ROW][C]43[/C][C]-0.232352[/C][C]-2.2766[/C][C]0.012516[/C][/ROW]
[ROW][C]44[/C][C]-0.245458[/C][C]-2.405[/C][C]0.009045[/C][/ROW]
[ROW][C]45[/C][C]-0.258564[/C][C]-2.5334[/C][C]0.006458[/C][/ROW]
[ROW][C]46[/C][C]-0.27167[/C][C]-2.6618[/C][C]0.004556[/C][/ROW]
[ROW][C]47[/C][C]-0.284775[/C][C]-2.7902[/C][C]0.003177[/C][/ROW]
[ROW][C]48[/C][C]-0.298223[/C][C]-2.922[/C][C]0.002168[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32149&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32149&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9702359.50630
20.9387989.19830
30.9073628.89030
40.8759268.58230
50.8469168.2980
60.818848.0230
70.7907647.74790
80.7688537.53320
90.7469417.31850
100.725037.10380
110.7031196.88910
120.6791656.65440
130.6474286.34350
140.6136266.01230
150.5798245.68110
160.5460235.34990
170.5146485.04251e-06
180.485144.75344e-06
190.4556324.46431.1e-05
200.4294944.20822.9e-05
210.4033563.95217.4e-05
220.3772183.6960.000182
230.351083.43990.000431
240.3235263.16990.001023
250.2895562.83710.002777
260.2526762.47570.007525
270.2157952.11440.018538
280.1789151.7530.041397
290.1431551.40260.081977
300.1116891.09430.138276
310.0802220.7860.216897
320.0532560.52180.301506
330.0307690.30150.381852
340.0082820.08110.467746
35-0.014204-0.13920.444802
36-0.03753-0.36770.356946
37-0.066147-0.64810.259231
38-0.096804-0.94850.172633
39-0.127461-1.24890.107378
40-0.158117-1.54920.062309
41-0.187467-1.83680.034667
42-0.209909-2.05670.021215
43-0.232352-2.27660.012516
44-0.245458-2.4050.009045
45-0.258564-2.53340.006458
46-0.27167-2.66180.004556
47-0.284775-2.79020.003177
48-0.298223-2.9220.002168







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9702359.50630
2-0.043606-0.42720.335078
3-0.015438-0.15130.440043
4-0.016504-0.16170.435939
50.0247270.24230.404544
6-0.002054-0.02010.491993
7-0.016298-0.15970.436732
80.0896770.87870.190891
9-0.017171-0.16820.433374
10-0.011693-0.11460.454513
11-0.013055-0.12790.449244
12-0.040256-0.39440.34707
13-0.144359-1.41440.080236
14-0.048954-0.47960.316285
15-0.008489-0.08320.466942
16-0.024718-0.24220.404575
170.0106290.10410.458637
180.0065980.06460.474295
19-0.026154-0.25630.39915
200.0123820.12130.451848
21-0.024254-0.23760.406332
22-0.016031-0.15710.43776
23-0.020575-0.20160.420329
24-0.027599-0.27040.39371
25-0.109876-1.07660.142187
26-0.067441-0.66080.255166
27-0.018572-0.1820.427997
28-0.034724-0.34020.367214
29-0.028083-0.27520.391893
300.0337190.33040.370917
31-0.035085-0.34380.365889
320.0216540.21220.416215
330.044010.43120.333642
34-0.018208-0.17840.429392
35-0.025606-0.25090.401219
36-0.022555-0.2210.412784
37-0.074555-0.73050.233436
38-0.053443-0.52360.30087
39-0.017734-0.17380.43121
40-0.022846-0.22380.411678
41-0.028748-0.28170.389399
420.0691930.67790.249718
43-0.036818-0.36070.359543
440.1059821.03840.150845
45-0.051667-0.50620.306927
46-0.0104-0.10190.459526
47-0.024694-0.2420.404666
48-0.011557-0.11320.455041

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.970235 & 9.5063 & 0 \tabularnewline
2 & -0.043606 & -0.4272 & 0.335078 \tabularnewline
3 & -0.015438 & -0.1513 & 0.440043 \tabularnewline
4 & -0.016504 & -0.1617 & 0.435939 \tabularnewline
5 & 0.024727 & 0.2423 & 0.404544 \tabularnewline
6 & -0.002054 & -0.0201 & 0.491993 \tabularnewline
7 & -0.016298 & -0.1597 & 0.436732 \tabularnewline
8 & 0.089677 & 0.8787 & 0.190891 \tabularnewline
9 & -0.017171 & -0.1682 & 0.433374 \tabularnewline
10 & -0.011693 & -0.1146 & 0.454513 \tabularnewline
11 & -0.013055 & -0.1279 & 0.449244 \tabularnewline
12 & -0.040256 & -0.3944 & 0.34707 \tabularnewline
13 & -0.144359 & -1.4144 & 0.080236 \tabularnewline
14 & -0.048954 & -0.4796 & 0.316285 \tabularnewline
15 & -0.008489 & -0.0832 & 0.466942 \tabularnewline
16 & -0.024718 & -0.2422 & 0.404575 \tabularnewline
17 & 0.010629 & 0.1041 & 0.458637 \tabularnewline
18 & 0.006598 & 0.0646 & 0.474295 \tabularnewline
19 & -0.026154 & -0.2563 & 0.39915 \tabularnewline
20 & 0.012382 & 0.1213 & 0.451848 \tabularnewline
21 & -0.024254 & -0.2376 & 0.406332 \tabularnewline
22 & -0.016031 & -0.1571 & 0.43776 \tabularnewline
23 & -0.020575 & -0.2016 & 0.420329 \tabularnewline
24 & -0.027599 & -0.2704 & 0.39371 \tabularnewline
25 & -0.109876 & -1.0766 & 0.142187 \tabularnewline
26 & -0.067441 & -0.6608 & 0.255166 \tabularnewline
27 & -0.018572 & -0.182 & 0.427997 \tabularnewline
28 & -0.034724 & -0.3402 & 0.367214 \tabularnewline
29 & -0.028083 & -0.2752 & 0.391893 \tabularnewline
30 & 0.033719 & 0.3304 & 0.370917 \tabularnewline
31 & -0.035085 & -0.3438 & 0.365889 \tabularnewline
32 & 0.021654 & 0.2122 & 0.416215 \tabularnewline
33 & 0.04401 & 0.4312 & 0.333642 \tabularnewline
34 & -0.018208 & -0.1784 & 0.429392 \tabularnewline
35 & -0.025606 & -0.2509 & 0.401219 \tabularnewline
36 & -0.022555 & -0.221 & 0.412784 \tabularnewline
37 & -0.074555 & -0.7305 & 0.233436 \tabularnewline
38 & -0.053443 & -0.5236 & 0.30087 \tabularnewline
39 & -0.017734 & -0.1738 & 0.43121 \tabularnewline
40 & -0.022846 & -0.2238 & 0.411678 \tabularnewline
41 & -0.028748 & -0.2817 & 0.389399 \tabularnewline
42 & 0.069193 & 0.6779 & 0.249718 \tabularnewline
43 & -0.036818 & -0.3607 & 0.359543 \tabularnewline
44 & 0.105982 & 1.0384 & 0.150845 \tabularnewline
45 & -0.051667 & -0.5062 & 0.306927 \tabularnewline
46 & -0.0104 & -0.1019 & 0.459526 \tabularnewline
47 & -0.024694 & -0.242 & 0.404666 \tabularnewline
48 & -0.011557 & -0.1132 & 0.455041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32149&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.970235[/C][C]9.5063[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.043606[/C][C]-0.4272[/C][C]0.335078[/C][/ROW]
[ROW][C]3[/C][C]-0.015438[/C][C]-0.1513[/C][C]0.440043[/C][/ROW]
[ROW][C]4[/C][C]-0.016504[/C][C]-0.1617[/C][C]0.435939[/C][/ROW]
[ROW][C]5[/C][C]0.024727[/C][C]0.2423[/C][C]0.404544[/C][/ROW]
[ROW][C]6[/C][C]-0.002054[/C][C]-0.0201[/C][C]0.491993[/C][/ROW]
[ROW][C]7[/C][C]-0.016298[/C][C]-0.1597[/C][C]0.436732[/C][/ROW]
[ROW][C]8[/C][C]0.089677[/C][C]0.8787[/C][C]0.190891[/C][/ROW]
[ROW][C]9[/C][C]-0.017171[/C][C]-0.1682[/C][C]0.433374[/C][/ROW]
[ROW][C]10[/C][C]-0.011693[/C][C]-0.1146[/C][C]0.454513[/C][/ROW]
[ROW][C]11[/C][C]-0.013055[/C][C]-0.1279[/C][C]0.449244[/C][/ROW]
[ROW][C]12[/C][C]-0.040256[/C][C]-0.3944[/C][C]0.34707[/C][/ROW]
[ROW][C]13[/C][C]-0.144359[/C][C]-1.4144[/C][C]0.080236[/C][/ROW]
[ROW][C]14[/C][C]-0.048954[/C][C]-0.4796[/C][C]0.316285[/C][/ROW]
[ROW][C]15[/C][C]-0.008489[/C][C]-0.0832[/C][C]0.466942[/C][/ROW]
[ROW][C]16[/C][C]-0.024718[/C][C]-0.2422[/C][C]0.404575[/C][/ROW]
[ROW][C]17[/C][C]0.010629[/C][C]0.1041[/C][C]0.458637[/C][/ROW]
[ROW][C]18[/C][C]0.006598[/C][C]0.0646[/C][C]0.474295[/C][/ROW]
[ROW][C]19[/C][C]-0.026154[/C][C]-0.2563[/C][C]0.39915[/C][/ROW]
[ROW][C]20[/C][C]0.012382[/C][C]0.1213[/C][C]0.451848[/C][/ROW]
[ROW][C]21[/C][C]-0.024254[/C][C]-0.2376[/C][C]0.406332[/C][/ROW]
[ROW][C]22[/C][C]-0.016031[/C][C]-0.1571[/C][C]0.43776[/C][/ROW]
[ROW][C]23[/C][C]-0.020575[/C][C]-0.2016[/C][C]0.420329[/C][/ROW]
[ROW][C]24[/C][C]-0.027599[/C][C]-0.2704[/C][C]0.39371[/C][/ROW]
[ROW][C]25[/C][C]-0.109876[/C][C]-1.0766[/C][C]0.142187[/C][/ROW]
[ROW][C]26[/C][C]-0.067441[/C][C]-0.6608[/C][C]0.255166[/C][/ROW]
[ROW][C]27[/C][C]-0.018572[/C][C]-0.182[/C][C]0.427997[/C][/ROW]
[ROW][C]28[/C][C]-0.034724[/C][C]-0.3402[/C][C]0.367214[/C][/ROW]
[ROW][C]29[/C][C]-0.028083[/C][C]-0.2752[/C][C]0.391893[/C][/ROW]
[ROW][C]30[/C][C]0.033719[/C][C]0.3304[/C][C]0.370917[/C][/ROW]
[ROW][C]31[/C][C]-0.035085[/C][C]-0.3438[/C][C]0.365889[/C][/ROW]
[ROW][C]32[/C][C]0.021654[/C][C]0.2122[/C][C]0.416215[/C][/ROW]
[ROW][C]33[/C][C]0.04401[/C][C]0.4312[/C][C]0.333642[/C][/ROW]
[ROW][C]34[/C][C]-0.018208[/C][C]-0.1784[/C][C]0.429392[/C][/ROW]
[ROW][C]35[/C][C]-0.025606[/C][C]-0.2509[/C][C]0.401219[/C][/ROW]
[ROW][C]36[/C][C]-0.022555[/C][C]-0.221[/C][C]0.412784[/C][/ROW]
[ROW][C]37[/C][C]-0.074555[/C][C]-0.7305[/C][C]0.233436[/C][/ROW]
[ROW][C]38[/C][C]-0.053443[/C][C]-0.5236[/C][C]0.30087[/C][/ROW]
[ROW][C]39[/C][C]-0.017734[/C][C]-0.1738[/C][C]0.43121[/C][/ROW]
[ROW][C]40[/C][C]-0.022846[/C][C]-0.2238[/C][C]0.411678[/C][/ROW]
[ROW][C]41[/C][C]-0.028748[/C][C]-0.2817[/C][C]0.389399[/C][/ROW]
[ROW][C]42[/C][C]0.069193[/C][C]0.6779[/C][C]0.249718[/C][/ROW]
[ROW][C]43[/C][C]-0.036818[/C][C]-0.3607[/C][C]0.359543[/C][/ROW]
[ROW][C]44[/C][C]0.105982[/C][C]1.0384[/C][C]0.150845[/C][/ROW]
[ROW][C]45[/C][C]-0.051667[/C][C]-0.5062[/C][C]0.306927[/C][/ROW]
[ROW][C]46[/C][C]-0.0104[/C][C]-0.1019[/C][C]0.459526[/C][/ROW]
[ROW][C]47[/C][C]-0.024694[/C][C]-0.242[/C][C]0.404666[/C][/ROW]
[ROW][C]48[/C][C]-0.011557[/C][C]-0.1132[/C][C]0.455041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32149&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32149&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9702359.50630
2-0.043606-0.42720.335078
3-0.015438-0.15130.440043
4-0.016504-0.16170.435939
50.0247270.24230.404544
6-0.002054-0.02010.491993
7-0.016298-0.15970.436732
80.0896770.87870.190891
9-0.017171-0.16820.433374
10-0.011693-0.11460.454513
11-0.013055-0.12790.449244
12-0.040256-0.39440.34707
13-0.144359-1.41440.080236
14-0.048954-0.47960.316285
15-0.008489-0.08320.466942
16-0.024718-0.24220.404575
170.0106290.10410.458637
180.0065980.06460.474295
19-0.026154-0.25630.39915
200.0123820.12130.451848
21-0.024254-0.23760.406332
22-0.016031-0.15710.43776
23-0.020575-0.20160.420329
24-0.027599-0.27040.39371
25-0.109876-1.07660.142187
26-0.067441-0.66080.255166
27-0.018572-0.1820.427997
28-0.034724-0.34020.367214
29-0.028083-0.27520.391893
300.0337190.33040.370917
31-0.035085-0.34380.365889
320.0216540.21220.416215
330.044010.43120.333642
34-0.018208-0.17840.429392
35-0.025606-0.25090.401219
36-0.022555-0.2210.412784
37-0.074555-0.73050.233436
38-0.053443-0.52360.30087
39-0.017734-0.17380.43121
40-0.022846-0.22380.411678
41-0.028748-0.28170.389399
420.0691930.67790.249718
43-0.036818-0.36070.359543
440.1059821.03840.150845
45-0.051667-0.50620.306927
46-0.0104-0.10190.459526
47-0.024694-0.2420.404666
48-0.011557-0.11320.455041



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')